Title :
Optimising the performance of soft computing agents for classification of unstained mammalian cell images
Author :
Khosla, R. ; Lai, C. ; Mitsukura, Y.
Author_Institution :
Sch. of Bus., La Trobe Univ., Melbourne, Vic., Australia
Abstract :
Most existing approaches for determining serious pathological conditions involve analysis of stained images of human tissue. In this paper we describe a multi-agent distributed control system model for image processing of unstained human (mammalian) cell images. The control system model develops a symbiotic relationship between soft computing agents like neural networks and water immersion and morphological agents for segmentation and classification of cells in unstained Chinese hamster ovarian image samples.
Keywords :
biological tissues; cellular biophysics; distributed control; image classification; image segmentation; intelligent control; medical image processing; multi-agent systems; control system model; human tissue; image processing; morphological agents; multiagent distributed control system model; neural networks; pathological conditions; performance optimisation; segmentation; soft computing agents; stained image analysis; symbiotic relationship; unstained Chinese hamster ovarian image samples; unstained mammalian cell images classification; water immersion; Computer networks; Control system synthesis; Distributed control; Humans; Image analysis; Image processing; Image segmentation; Neural networks; Pathology; Symbiosis;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7783-4
DOI :
10.1109/CIMSA.2003.1227221
